Scheduled Courses in the Summer Semester 2021
General Information
Terms of Application:PORTA
Scripts and Documents:Stud.IP
You will have access to the documents in Stud.IP within 36 hours after registration for the lectures in PORTA. If any problems occur, please contact us!
You will find further information on all lectures in PORTA!
Examination Regulations for the Master Program Applied Statistics:PO MA Applied Statistics
IMPORTANT NEWS - Registration for Examinations and Lectures in PORTA
New General Examination Regulations have entered into force recently!
These regulations prescribe that all students have to register for lectures AS WELL AS for examinations in PORTA-System at Trier University.
Please note that these regulations are also applicable for lectures which are offered as video conferences from Berlin and Bamberg Universities! In these cases you have to enroll both in PORTA for lecture and examination and to register (mostly per mail) for the course and the exam at the external university.
ERASMUS-Students or other international student who cannot register to PORTA have to sign in in our secretary's office for all examinations! In case of video conferences, please contact the external university as well as our chair!
Please consider these rules carefully, as otherwise you might cause problems with the approval of your achieved grades.
You will find registration periods for the lectures right below this note as well as on the PORTA start page. In case you fail to register in PORTA for a lecture (although you have carefully observed the rules), please contact us per mail to statistikuni-trierde and tell us your exact course of studies including your current examination regulations (PO) as well as the exact module name for which you wish the lecture to be credited!
Registration periods for the examinations will be provided by the Hochschulprüfungsamt (examination office).
Registration Periods for Master Courses!
Dear Students,
please take care of the registration periods for our Master courses:
- 08.02.2021 - 14.02.2021
- 19.02.2021 - 23.02.2021
- 11.03.2021 - 16.03.2021
- 25.03.2021 - 31.03.2021
- 12.04.2021 - 18.04.2021
- 31.05.2021 - 06.06.2021
[DIGITAL!] Introduction to Bayes Statistics
Course Number: | 14402736 |
Lecturer: | Dr. Florian Meinfelder, Doris Stingl (Bamberg University) |
Time: | Monday, 10:00 - 14:00 |
Location: | DIGITAL |
Start Date: | 12/04/2021 (Lecture) |
Classification: | MA4SUS2007 Introduction to Bayes Statistics (MSc Survey Statistics) |
Note: | Video Conference held at Bamberg University |
Small Area Estimation (Small Area Verfahren)
Course Number: | 14402813 |
Lecturer: | Dr. habil. Jan Pablo Burgard |
Time: | Monday, 16:00 - 18:00 (Lecture) |
Wednesday, 10:00 - 12:00 (Tutorial) | |
Location: | DIGITAL |
Start Date: | 12/04/2021 (Lecture) |
Classification: | MA4SUS2012 Small Area Estimation (M.Sc. Survey Statistics) |
Note: | This lecture is offered as a video conference. |
[DIGITAL!] Emos Core Module
Course Number: | 14402932 |
Lecturer : | Prof. Dr. Ralf Münnich |
Time: | Tuesday, 14:00 - 16:00 |
Location: | DIGITAL |
Start Date: | 6/04/2021 (tbd) |
Classification: | MA4AST1015 Emos Core Module (MSc Applied Statistics) |
[DIGITAL!] Use of Non-Sampling Data (Statistical Methods of Data Science Part 1)
Course Number: | 14402912 |
Lecturer: | Prof. Dr. Ralf Münnich |
Time: | Friday, 08:00 - 12:00 |
Location: | DIGITAL |
Start Date: | 09/04/2021 |
Classification: | MA4AST1005 Application (MSc (1F) Applied Statistics) |
[DIGITAL] Statistical Literacy
Course Number: | 14402931 |
Lecturer: | Dr. Florian Ertz |
Time: | Friday, 14:00 - 18:00 |
Location: | DIGITAL |
Start Date: | 09/04/2021 |
Classification: | MA4AST1005 Application (MSc (1F) Applied Statistics) MA4AST1003-4 General Statistics 1/2 (MSc (1F) Applied Statistics) MA4AST1018 Specialisation Module in Data Science (MSc (1F) Applied Statistics) MA4SUS2028 Statistical Literacy (MSc (1F) Survey Statistics) |
[DIGITAL!] Postgraduate and Research Colloquium M.Sc. Survey Statistics/Applied Statistics
Course Number: | 14402753 |
Lecturer: | Prof. Dr. Ralf Münnich |
Time: | Wednesday, 08:00 - 12:00 |
Start Date: | to be communicated |
Location: | DIGITAL |
Classification: | This course is intended for Master students and postgraduates. |